Ionomic Screening of Field‐Grown Soybean Identifies Mutants with Altered Seed Elemental Composition

Ziegler, Gregory R.; Terauchi, Aimee M.; Becker, A.; Armstrong, Paul R.; Hudson, Karen A.; Baxter, Ivan

doi:10.3835/plantgenome2012.07.0012

Cited by 83 publications

(71 citation statements)

References 21 publications

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“…The methods used for elemental profile analysis are as described in Ziegler et al (2013). Descriptions taken directly are denoted by quotation marks.…”

Section: Methodsmentioning

confidence: 99%

The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome

Asaro

Ziegler

Ziyomo

et al. 2016

G3 Genes|Genomes|Genetics

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Plants obtain soil-resident elements that support growth and metabolism from the water-flow facilitated by transpiration and active transport processes. The availability of elements in the environment interacts with the genetic capacity of organisms to modulate element uptake through plastic adaptive responses, such as homeostasis. These interactions should cause the elemental contents of plants to vary such that the effects of genetic polymorphisms will be dramatically dependent on the environment in which the plant is grown. To investigate genotype by environment interactions underlying elemental accumulation, we analyzed levels of elements in maize kernels of the Intermated B73 × Mo17 (IBM) recombinant inbred population grown in 10 different environments, spanning a total of six locations and five different years. In analyses conducted separately for each environment, we identified a total of 79 quantitative trait loci (QTL) controlling seed elemental accumulation. While a set of these QTL was found in multiple environments, the majority were specific to a single environment, suggesting the presence of genetic by environment interactions. To specifically identify and quantify QTL by environment interactions (QEIs), we implemented two methods: linear modeling with environmental covariates, and QTL analysis on trait differences between growouts. With these approaches, we found several instances of QEI, indicating that elemental profiles are highly heritable, interrelated, and responsive to the environment.

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“…The methods used for elemental profile analysis are as described in Ziegler et al (2013). Descriptions taken directly are denoted by quotation marks.…”

Section: Methodsmentioning

confidence: 99%

The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome

Asaro

Ziegler

Ziyomo

et al. 2016

G3 Genes|Genomes|Genetics

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“…Sample preparation and measurement of calcium content were done according to a published protocol 41 , with minor modifications. Seed-coat samples were ground with a plastic rod, and 0.25 ml of powdered seed coat from each sample was measured and deposited into a 16 × 110 mm borosilicate glass test tube.…”

Section: Subcellular Localizationmentioning

confidence: 99%

GmHs1-1, encoding a calcineurin-like protein, controls hard-seededness in soybean

et al. 2015

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Loss of seed-coat impermeability was essential in the domestication of many leguminous crops to promote the production of their highly nutritious seeds. Here we show that seed-coat impermeability in wild soybean is controlled by a single gene, GmHs1-1, which encodes a calcineurin-like metallophosphoesterase transmembrane protein. GmHs1-1 is primarily expressed in the Malpighian layer of the seed coat and is associated with calcium content. The transition from impermeability to permeability in domesticated soybean was caused by artificial selection of a point mutation in GmHs1-1. Interestingly, a number of soybean landraces evaded selection for permeability because of an alternative selection for seed-coat cracking that also enables seed imbibition. Despite the single origin of the mutant allele Gmhs1-1, the distribution pattern of allelic variants in the context of soybean population structure and the detected signature of genomic introgression between wild and cultivated soybeans suggest that Gmhs1-1 may have experienced reselection for seed-coat permeability.

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“…3, No. 2;2014 Soil differences as presented above can, in fact, increase both the false positive rate and false negative rates for mutant identification (Ziegler, 2012) in the likely niching across some eco-edaphic differentiations.…”

Section: Mineral Uptake Niching Across the Eco-edaphic Differentiationmentioning

confidence: 99%

X-Ray Fluorescence-Analyzed Mineral Micronutrient DensityVariation Among Kenyan Local Vegetables

Akundabweni¹,

Munene²,

Maina³

2014

SAR

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In Africa staple cereal foods are often eaten along with the African Leafy Vegetables (ALVs) rendering meals rich in micronutrients. To increase the mineral micronutrient value, it is imperative to intensify their cultivation given their under-utilized diversity, neglect until needed, slow rate of incorporation into crop value chains for lack clear micronutrient nutrition driven agenda.As a way of focusing on their ionomic nutraceutic attribute potential, the first objective was to investigate accession ionome differentials on the basis a soil mineral criterion.The second objective was to determine a method for variation assessment of ionomic micronutrient dense variants in key Kenyan local vegetables. Four ALVs species constituting 25 accessions were collected in short season rains of 2003 from north and southern stretch of western Kenya and in early Long rains of 2004 from south eastern Kenya. A stratified sampling design had three collection points per farm; on three farms per site; and at three sites per phyto-region. ALV samples together with accompanying soils were Energy Dispersive X-ray fluorescence (XRF) analysed.The data were used, first, for ionomically differentiating populations by way of singling out respective element influenced accession differentials (SELIACDs).Second, elements were jointly resolved into multi-element influenced accession differentials (MELIACDs). Agro-edaphic effects on population ionome niching were assessed using analysis of variance and graphical aids. Geometric means were generated and awarded nutrametric merit scores to allow for nutrametric grading of accessions.Results suggest a great deal of ionomic phenotypic plasticity among the local vegetable accessions as a function at scale of farm, site and/or region soils.The SELIACD method was useful for piecemeal separation of accession on a single element basis but which method would require the development of a selection index with a certainty of a significant genetic gain at the onset.The joint MELIACD and the nutrametric grading methods are proposed as a promising basis for prebreeding tool prioritization given the XRF-analytic novelty and the emerging interest in ALV nutraceutical cropping.

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Ionomic Screening of Field‐Grown Soybean Identifies Mutants with Altered Seed Elemental Composition

Cited by 83 publications

References 21 publications

The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome

The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome

GmHs1-1, encoding a calcineurin-like protein, controls hard-seededness in soybean

X-Ray Fluorescence-Analyzed Mineral Micronutrient DensityVariation Among Kenyan Local Vegetables

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